hgpu.org » Texture detection
Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rudiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister
Tags: Image processing, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Texture detection, Visualization
June 17, 2011 by hgpu
M. Martinez-Zarzuela, F. Diaz-Pernas, M. Anton-Rodriguez, J. Diez-Higuera, D. Gonzalez-Ortega, D. Boto-Giralda, F. Lopez-Gonzalez, I. De La Torre
November 16, 2010 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization
- MusaCoder: Native GPU Kernel Generation with Full-Stack Training on Moore Threads GPU
- KForge: LLM-Driven Cross-Platform Kernel Generation for AI Accelerators
- Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
- CodegenBench: Can LLMs Write Efficient Code Across Architectures?
- daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization
- Leveraging AI Ecosystem for Portable and Sustainable GPU Kernels in HPC
- AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
- Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin
- Tangram: Hiding GPU Heterogeneity for Efficient LLM Parallelization
* * *



